Stored procedures in Snowflake are powerful database objects that allow you to encapsulate business logic, SQL statements, and procedural code into reusable units. They are essential components for data transformations within the Snowflake ecosystem.
Stored procedures in Snowflake are written usin…Stored procedures in Snowflake are powerful database objects that allow you to encapsulate business logic, SQL statements, and procedural code into reusable units. They are essential components for data transformations within the Snowflake ecosystem.
Stored procedures in Snowflake are written using JavaScript, Snowflake Scripting (SQL-based), Java, Python, or Scala. They enable you to perform complex operations that go beyond simple SQL queries, including conditional logic, loops, error handling, and transaction management.
Key characteristics of Snowflake stored procedures include:
1. **Language Support**: You can write procedures in JavaScript (most common), SQL Scripting, Java, Python, or Scala, providing flexibility based on your team's expertise.
2. **Owner's Rights vs Caller's Rights**: Procedures can execute with the privileges of either the owner or the caller, controlling access to underlying objects.
3. **Return Values**: Stored procedures can return scalar values, tables, or status indicators to communicate results back to the calling application.
4. **Transaction Control**: Unlike user-defined functions, stored procedures can contain transaction control statements like BEGIN, COMMIT, and ROLLBACK.
5. **Dynamic SQL**: Procedures support dynamic SQL execution, allowing you to construct and execute SQL statements at runtime.
6. **Error Handling**: Built-in try-catch mechanisms enable robust error handling and logging capabilities.
For data transformations, stored procedures are particularly valuable when you need to orchestrate multiple transformation steps, implement complex business rules, or create ETL/ELT pipelines. They can call other procedures, execute tasks conditionally, and manage data movement between stages and tables.
Best practices include using meaningful naming conventions, implementing proper error handling, documenting parameters and return values, and testing thoroughly before deployment. Stored procedures complement other Snowflake features like streams and tasks to build comprehensive data transformation solutions that maintain data quality and consistency across your data warehouse.
Stored Procedures in Snowflake - Complete Guide for SnowPro Core Certification
What are Stored Procedures?
Stored procedures in Snowflake are named blocks of code that can be called to perform specific tasks. They are written using JavaScript, Snowflake Scripting (SQL), Python, Java, or Scala and are stored in the database for repeated execution. Stored procedures allow you to encapsulate business logic, perform complex operations, and execute multiple SQL statements as a single unit.
Why are Stored Procedures Important?
1. Code Reusability: Write once, execute multiple times across different sessions and users 2. Security: Execute with caller's rights or owner's rights, enabling controlled access to data 3. Complex Logic: Implement branching, looping, and error handling that pure SQL cannot achieve 4. Administrative Tasks: Automate maintenance operations like data loading, cleanup, and monitoring 5. Transaction Control: Manage commits and rollbacks within procedural code
How Stored Procedures Work in Snowflake
Creating a Stored Procedure:
CREATE OR REPLACE PROCEDURE procedure_name(parameter1 DATA_TYPE, parameter2 DATA_TYPE) RETURNS return_type LANGUAGE language_name EXECUTE AS CALLER | OWNER AS $$ -- procedure body $$;
Key Components:
• Parameters: Input values passed to the procedure • Return Type: The data type of the value returned (can be a single value or a table) • Language: JavaScript, SQL (Snowflake Scripting), Python, Java, or Scala • Execute As: Determines the privilege context (CALLER or OWNER)
Caller's Rights vs Owner's Rights:
• EXECUTE AS CALLER: Procedure runs with the privileges of the user calling it. The caller must have access to all objects referenced. • EXECUTE AS OWNER: Procedure runs with the privileges of the procedure owner. Useful for granting temporary elevated access.
Snowflake Scripting (SQL) Example:
CREATE PROCEDURE get_row_count(table_name VARCHAR) RETURNS INTEGER LANGUAGE SQL AS $$ DECLARE row_count INTEGER; BEGIN SELECT COUNT(*) INTO row_count FROM IDENTIFIER(:table_name); RETURN row_count; END; $$;
JavaScript Example:
CREATE PROCEDURE js_example() RETURNS STRING LANGUAGE JAVASCRIPT AS $$ var result = snowflake.execute({sqlText: 'SELECT CURRENT_DATE()'}); result.next(); return result.getColumnValue(1); $$;
Calling Stored Procedures:
CALL procedure_name(argument1, argument2);
Key Features to Remember:
• Stored procedures can execute DDL and DML statements • They support transaction control (BEGIN, COMMIT, ROLLBACK) • Variables can be declared and used within procedures • Error handling with TRY-CATCH blocks is supported • Procedures can call other procedures • Anonymous blocks allow running procedural code on-the-fly
Exam Tips: Answering Questions on Stored Procedures
1. Know the Languages: Memorize that Snowflake supports JavaScript, SQL (Snowflake Scripting), Python, Java, and Scala for stored procedures
2. EXECUTE AS Understanding: This is frequently tested. Remember CALLER means the invoker's privileges apply; OWNER means the creator's privileges apply
3. Stored Procedures vs UDFs: Procedures can return a single value or nothing and can contain multiple SQL statements including DDL. UDFs must return a value and are used in SQL expressions
4. Transaction Scope: Stored procedures can manage their own transactions with COMMIT and ROLLBACK
5. CALL Statement: Remember that procedures are invoked using CALL, not SELECT
6. Anonymous Blocks: Know that you can execute procedural code with EXECUTE IMMEDIATE or BEGIN...END blocks
7. Watch for Trick Questions: Procedures are different from functions - procedures use CALL, functions can be used in SELECT statements
8. Privileges: To create a procedure, you need USAGE on the database and schema, plus CREATE PROCEDURE privilege